canary-watch

Monitor web application metrics to detect post-deployment regressions.

1|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/samymity/node-poc --skill canary-watch-samymity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canary-watch
Source: https://github.com/samymity/node-poc/tree/main/.claude/skills/canary-watch
Command: npx skills add https://github.com/samymity/node-poc --skill canary-watch-samymity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deploying code to production or staging often introduces undetected regressions like broken functionality, performance drops, or API failures that impact users before teams are aware. This Skill automates post-deployment monitoring to catch these issues immediately after a release, reducing mean time to detection and preventing user-facing outages.

Core Features & Use Cases

  • Comprehensive regression checks: Monitors HTTP status, new console errors, network failures, core web vital regressions (LCP/CLS/INP), key content element availability, and critical API health against a baseline.
  • Flexible watch modes: Run a single quick health check, sustained monitoring over a custom duration and interval, or diff staging vs production environments to catch environment-specific issues.
  • Configurable alerting: Sends desktop notifications, optional Slack/Discord webhook alerts, and logs critical issues when predefined thresholds are crossed, ensuring teams can respond immediately to outages. Use case: After merging a risky PR that updates a core checkout flow, use this Skill to monitor the production URL for 1 hour to catch any broken payment steps or API latency spikes before customers report them.

Quick Start

Use the canary-watch skill to monitor your production deployment URL for 30 minutes immediately after pushing a new release to catch any regressions.

Frequently Asked Questions about canary-watch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor API health and detect regressions after a production deploy?

Post-deployment regression monitoring tracks HTTP status, network failures, and critical API health against a baseline immediately after code deploys to catch system stability issues before users notice.

Can I compare staging and production environments to catch environment-specific issues?

Yes, you can diff staging versus production environments to catch environment-specific issues by comparing critical user-facing and backend metrics across both environments.

What metrics are checked during post-deploy regression monitoring?

Post-deploy regression monitoring checks HTTP status, new console errors, network failures, core web vitals like LCP CLS and INP, key content element availability, and critical API health.

How do I set up Slack alerts for post-deployment health checks?

Configurable alerting sends desktop notifications and optional Slack or Discord webhook alerts when predefined thresholds are crossed during deployment health checks.

What is the best way to run sustained monitoring after a risky PR merge?

You can run sustained monitoring over a custom duration and interval after risky PR merges, or perform a single quick health check to verify system stability.

Do I need any dependencies to automate post-deploy regression checks?

No external dependencies are required. The Skill operates independently to automate post-deployment monitoring and configurable alerting for web application regression detection.